Multimodal human–computer interaction (HCI) systems pledge a more human–human-like
interaction between machines and humans. Their prowess in emanating an unambiguous …

In this paper, we present DREAMER, a multimodal database consisting of
electroencephalogram (EEG) and electrocardiogram (ECG) signals recorded during affect …

Current techniques for characterizing cybersickness (visually induced motion sickness) in
virtual environments rely on qualitative questionnaires. For interactive graphics to create …

Human anxiety is a grave mental health concern that needs to be addressed in the
appropriate manner in order to develop a healthy society. In this study, an objective human …

Two experiments were conducted to investigate the role of multitasking, physical setting and
electroencephalography use on retention and cognitive load among undergraduate …

Various recent research works have focused on the use of electroencephalography (EEG)
signals in the field of biometrics. However, advances in this area have somehow been …

The aim of this research study is to detect emotional state by processing
electroencephalography (EEG) signals and test effect of meditation music therapy to …

Anxiety affects human capabilities and behavior as much as it affects productivity and quality
of life. It is considered to be the main cause of depression and suicide. Anxious states are …

Introduction Brain computer interface is an emerging technology to treat the sequelae of
stroke. The purpose of this study was to explore the motor imagery related …

This work used a low-cost wireless electroencephalography (EEG) headset to quantify the
human response to different cognitive stress states on a single-trial basis. We used a Stroop …